code: def _vjp_bwd(tapes, execute_fn, jpc, device, params, dy):
      """Perform the backward pass of a vjp calculation, returning the vjp."""
  
      def wrapper(inner_params, inner_dy):
          new_tapes = _set_trainable_parameters_on_copy(
              tapes.vals, inner_params
          )
          return _to_jax(jpc.compute_vjp(new_tapes, inner_dy))
  
      vjp_shape = _pytree_shape_dtype_struct(params)
      return (
          jax.pure_callback(
              wrapper, vjp_shape, params, dy, vectorized=True
          ),
      )
  
file_path: pennylane/pennylane/workflow/interfaces/jax_jit.py
imports: import jax
  import jax.numpy
  import pennylane
  from pennylane.typing import ResultBatch
  from ..jacobian_products import _compute_jvps
  from .jax import _NonPytreeWrapper
label_desc: Use image node_id 11 for calling a global function with example usage: _vjp_bwd(tapes, execute_fn, jpc, device, params, dy) and returns: jax, _to_jax